RAPID: COLLABORATIVE RESEARCH: Building Infrastructure to Prevent Disasters like Hurricane Maria

快速：合作研究：建设基础设施以预防飓风玛丽亚等灾害

• 批准号: 1810802
• 负责人: Jeffery Horsburgh
• 金额: $ 2.14万
• 依托单位: Utah State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-15 至 2018-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1810802&HistoricalAwards=false
• 关键词: RAPID; COLLABORATIVE; RESEARCH; Building; Infrastructure

There is an urgent need to understand the impacts of severe flooding and infrastructure damage on public health after natural disasters. One limitation to effective disaster response is easy and rapid access to diverse information about available resources, community resource needs, baseline and current environmental conditions. This project aims to expand access to environmental and drinking water quality disaster response and recovery data in a publicly available format using a widely used collaborative online sharing platform named HydroShare. Curating a central repository of assembled data has the potential to greatly facilitate coordinated disaster responses of all types, and improve the monitoring of the recovery process. The project team will prototype this system with an assessment of drinking water, environment, and public health concerns unique to Puerto Rico in the aftermath of Hurricane Maria. By working directly with public water utilities, the project team intends to characterize and map the severity of impaired water resources and distribution systems in Puerto Rico, inform communities about how to protect themselves against hazards specific to their water, and to contribute to rebuilding so the nation is better prepared for future hurricanes. Developing cyber and social infrastructure to understand the dynamics of drinking water contamination after natural disasters will improve disaster preparedness and response, and contribute to efforts across the nation and the world to build for a resilient future.Recovery efforts from natural disasters can be more efficient with data-driven information on current needs and future risks. This project aims to advance open-source software infrastructure to support scientific investigation and data-driven decision making with a prototype system using a water quality assessment developed to investigate post-Hurricane Maria drinking water contamination in Puerto Rico. The widespread disruption of water treatment processes and uncertain drinking water quality within distribution systems in Puerto Rico poses risk to human health. However, there is no existing digital infrastructure to scientifically determine the impacts of the hurricane to inform a response to the crisis. After every natural disaster, including hurricane Maria, elementary questions on how to provide high quality water supplies and support basic human health are difficult to answer. This project will archive and make accessible data on environmental variables unique to Puerto Rico and Hurricane Maria, damage caused by the storm, and will begin to address time sensitive needs of citizens. By working directly with drinking water utilities to collect samples of biological and inorganic drinking water quality, this project aims to generate understanding and awareness of the degree to which drinking water systems were impacted by Hurricane Maria and the status of drinking water infrastructure and emergency recovery in Puerto Rico after the storm. The goal of this project is to advance understanding of how the severity of a hazard to human health (e.g., no access to safe culinary water) is related to the sophistication, connectivity, and operations of the physical and related digital infrastructure systems. By rapidly collecting data in the early stages of recovery, the team plans to test the design of an integrated cyberinfrastructure system to increase the accessibility of environmental and health data for understanding the impacts from hurricane-related natural disasters. The team will test and stress the CUAHSI HydroShare data publication mechanisms and capabilities to (1) assess the spatial and temporal presence of waterborne pathogens in public water systems impacted by a natural disaster, (2) demonstrate usability of HydroShare as a clearinghouse to centralize selected datasets related to Hurricane Maria, and (3) develop a prototype cyberinfrastructure to assess environmental conditions and public health impacted by natural disasters. By rapidly collecting data in the early stages of recovery, The team plans to test the design of an integrated cyberinfrastructure system to increase the accessibility of environmental and health data for understanding the impacts from hurricane-related natural disasters. This work will develop a prototype of a software infrastructure system to advance understanding of how data-driven information can reduce the impacts of natural disaster and serve as a platform for future research. The project thus serves to not only document post-disaster conditions, but develops a process to track the impact of recovery over time, as monitored through health, power availability and water quality.

迫切需要了解自然灾害后严重洪灾和基础设施破坏对公共卫生的影响。有效救灾的一个限制因素是容易和迅速获得关于现有资源、社区资源需求、基线和当前环境状况的各种信息。该项目旨在利用一个广泛使用的名为HydroShare的协作在线共享平台，以公开格式扩大环境和饮用水质量灾害应对和恢复数据的获取。 管理一个汇集数据的中央储存库有可能大大促进协调所有类型的灾害反应，并改善对恢复过程的监测。该项目小组将通过评估玛丽亚飓风过后波多黎各特有的饮用水、环境和公共卫生问题，建立该系统的原型。通过直接与公共供水公司合作，项目团队打算描述和绘制波多黎各受损水资源和分配系统的严重程度，告知社区如何保护自己免受水资源特有的危害，并为重建做出贡献，以便国家为未来的飓风做好更好的准备。发展网络和社会基础设施以了解自然灾害后饮用水污染的动态，将改善灾害准备和响应，并有助于全国和世界各地建设具有弹性的未来。通过数据驱动的当前需求和未来风险信息，自然灾害的恢复工作可以更有效。该项目旨在推进开源软件基础设施，以支持科学调查和数据驱动的决策与原型系统，使用水质评估开发调查飓风玛丽亚后饮用水污染在波多黎各。在波多黎各，水处理过程普遍中断，分配系统内的饮用水质量不确定，对人类健康构成威胁。然而，目前还没有数字基础设施来科学地确定飓风的影响，从而为应对危机提供信息。在每一次自然灾害之后，包括飓风玛丽亚之后，关于如何提供高质量供水和支持基本人类健康的基本问题都很难回答。 该项目将存档并提供关于波多黎各和飓风玛丽亚所特有的环境变量以及风暴造成的损失的数据，并将开始满足公民的时间敏感需求。通过直接与饮用水公用事业合作，收集生物和无机饮用水质量样本，该项目旨在了解和认识饮用水系统受飓风玛丽亚影响的程度以及波多黎各饮用水基础设施和风暴后紧急恢复的状况。该项目的目标是促进对人类健康危害的严重程度的理解（例如，无法获得安全的烹饪用水）与物理和相关数字基础设施系统的复杂性、连通性和操作有关。通过在恢复的早期阶段迅速收集数据，该小组计划测试综合网络基础设施系统的设计，以增加环境和健康数据的可获得性，从而了解飓风相关自然灾害的影响。该团队将测试和强调CUAHSI HydroShare数据发布机制和能力，以（1）评估受自然灾害影响的公共供水系统中水传播病原体的空间和时间存在，（2）证明HydroShare作为信息交换中心的可用性，以集中与飓风玛丽亚相关的选定数据集，以及（3）开发原型网络基础设施，以评估自然灾害对环境状况和公众健康的影响。通过在恢复的早期阶段快速收集数据，该团队计划测试综合网络基础设施系统的设计，以增加环境和健康数据的可访问性，从而了解飓风相关自然灾害的影响。 这项工作将开发一个软件基础设施系统的原型，以促进了解数据驱动的信息如何减少自然灾害的影响，并作为未来研究的平台。因此，该项目不仅用于记录灾后状况，而且还制定了一个程序，通过健康、电力供应和水质监测，跟踪随着时间的推移恢复的影响。